EMNLP 2018

1,049 papers

Belittling the Source: Trustworthiness Indicators to Obfuscate Fake News on the Web

Diego Esteves, Aniketh Janardhan Reddy, Piyush Chawla, Jens Lehmann

Towards Automatic Fake News Detection: Cross-Level Stance Detection in News Articles

Costanza Conforti, Mohammad Taher Pilehvar, Nigel Collier

Joint Modeling for Query Expansion and Information Extraction with Reinforcement Learning

Motoki Taniguchi, Yasuhide Miura, Tomoko Ohkuma

Information Nutrition Labels: A Plugin for Online News Evaluation

Vincentius Kevin, Birte Högden, Claudia Schwenger, Ali Şahan, Neelu Madan

Retrieve and Re-rank: A Simple and Effective IR Approach to Simple Question Answering over Knowledge Graphs

Vishal Gupta, Manoj Chinnakotla, Manish Shrivastava

Crowdsourcing Semantic Label Propagation in Relation Classification

Anca Dumitrache, Lora Aroyo, Chris Welty

The Data Challenge in Misinformation Detection: Source Reputation vs. Content Veracity

Fatemeh Torabi Asr, Maite Taboada

The Fact Extraction and VERification (FEVER) Shared Task

James Thorne, Andreas Vlachos, Oana Cocarascu, Christos Christodoulopoulos, Arpit Mittal

Proceedings of the First Workshop on Fact Extraction and VERification (FEVER)

James Thorne, Andreas Vlachos, Oana Cocarascu, Christos Christodoulopoulos, Arpit Mittal

Limitations in learning an interpreted language with recurrent models

Denis Paperno

End-to-end Image Captioning Exploits Distributional Similarity in Multimodal Space

Pranava Swaroop Madhyastha, Josiah Wang, Lucia Specia

Exploiting Attention to Reveal Shortcomings in Memory Models

Kaylee Burns, Aida Nematzadeh, Erin Grant, Alison Gopnik, Tom Griffiths

Does Syntactic Knowledge in Multilingual Language Models Transfer Across Languages?

Prajit Dhar, Arianna Bisazza

Debugging Sequence-to-Sequence Models with Seq2Seq-Vis

Hendrik Strobelt, Sebastian Gehrmann, Michael Behrisch, Adam Perer, Hanspeter Pfister

Interpretable Structure Induction via Sparse Attention

Ben Peters, Vlad Niculae, André F. T. Martins

Representation of Word Meaning in the Intermediate Projection Layer of a Neural Language Model

Steven Derby, Paul Miller, Brian Murphy, Barry Devereux

Language Modeling Teaches You More than Translation Does: Lessons Learned Through Auxiliary Syntactic Task Analysis

Kelly Zhang, Samuel Bowman

Explicitly modeling case improves neural dependency parsing

Clara Vania, Adam Lopez

GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy

Portable, layer-wise task performance monitoring for NLP models

Tom Lippincott

Extracting Syntactic Trees from Transformer Encoder Self-Attentions

David Mareček, Rudolf Rosa

State Gradients for RNN Memory Analysis

Lyan Verwimp, Hugo Van hamme, Vincent Renkens, Patrick Wambacq

Interpretable Word Embedding Contextualization

Kyoung-Rok Jang, Sung-Hyon Myaeng, Sang-Bum Kim

Probing sentence embeddings for structure-dependent tense

Geoff Bacon, Terry Regier

Predicting and interpreting embeddings for out of vocabulary words in downstream tasks

Nicolas Garneau, Jean-Samuel Leboeuf, Luc Lamontagne

Language Models Learn POS First

Naomi Saphra, Adam Lopez

Interpretable Textual Neuron Representations for NLP

Nina Poerner, Benjamin Roth, Hinrich Schütze

Does it care what you asked? Understanding Importance of Verbs in Deep Learning QA System

Barbara Rychalska, Dominika Basaj, Anna Wróblewska, Przemyslaw Biecek

How much should you ask? On the question structure in QA systems.

Barbara Rychalska, Dominika Basaj, Anna Wróblewska, Przemyslaw Biecek

Learning Explanations from Language Data

David Harbecke, Robert Schwarzenberg, Christoph Alt

Context-Free Transductions with Neural Stacks

Yiding Hao, William Merrill, Dana Angluin, Robert Frank, Noah Amsel

Evaluating Grammaticality in Seq2seq Models with a Broad Coverage HPSG Grammar: A Case Study on Machine Translation

Johnny Wei, Khiem Pham, Brendan O’Connor, Brian Dillon

An Analysis of Encoder Representations in Transformer-Based Machine Translation

Alessandro Raganato, Jörg Tiedemann

Firearms and Tigers are Dangerous, Kitchen Knives and Zebras are Not: Testing whether Word Embeddings Can Tell

Pia Sommerauer, Antske Fokkens

Importance of Self-Attention for Sentiment Analysis

Gaël Letarte, Frédérik Paradis, Philippe Giguère, François Laviolette

Interpreting Word-Level Hidden State Behaviour of Character-Level LSTM Language Models

Avery Hiebert, Cole Peterson, Alona Fyshe, Nishant Mehta

Iterative Recursive Attention Model for Interpretable Sequence Classification

Martin Tutek, Jan Šnajder

Under the Hood: Using Diagnostic Classifiers to Investigate and Improve how Language Models Track Agreement Information

Mario Giulianelli, Jack Harding, Florian Mohnert, Dieuwke Hupkes, Willem Zuidema

Closing Brackets with Recurrent Neural Networks

Natalia Skachkova, Thomas Trost, Dietrich Klakow

Do Language Models Understand Anything? On the Ability of LSTMs to Understand Negative Polarity Items

Jaap Jumelet, Dieuwke Hupkes

What do RNN Language Models Learn about Filler–Gap Dependencies?

Ethan Wilcox, Roger Levy, Takashi Morita, Richard Futrell

Learning and Evaluating Sparse Interpretable Sentence Embeddings

Valentin Trifonov, Octavian-Eugen Ganea, Anna Potapenko, Thomas Hofmann

Introspection for convolutional automatic speech recognition

Andreas Krug, Sebastian Stober

An Operation Sequence Model for Explainable Neural Machine Translation

Felix Stahlberg, Danielle Saunders, Bill Byrne

Analysing the potential of seq-to-seq models for incremental interpretation in task-oriented dialogue

Dieuwke Hupkes, Sanne Bouwmeester, Raquel Fernández

LISA: Explaining Recurrent Neural Network Judgments via Layer-wIse Semantic Accumulation and Example to Pattern Transformation

Pankaj Gupta, Hinrich Schütze

‘Indicatements’ that character language models learn English morpho-syntactic units and regularities

Yova Kementchedjhieva, Adam Lopez

Interpreting Neural Networks with Nearest Neighbors

Eric Wallace, Shi Feng, Jordan Boyd-Graber

Interpretable Neural Architectures for Attributing an Ad’s Performance to its Writing Style

Reid Pryzant, Sugato Basu, Kazoo Sone

Evaluating the Ability of LSTMs to Learn Context-Free Grammars

Luzi Sennhauser, Robert Berwick

Rearranging the Familiar: Testing Compositional Generalization in Recurrent Networks

João Loula, Marco Baroni, Brenden Lake

Can LSTM Learn to Capture Agreement? The Case of Basque

Shauli Ravfogel, Yoav Goldberg, Francis Tyers

Rule induction for global explanation of trained models

Madhumita Sushil, Simon Suster, Walter Daelemans

Unsupervised Token-wise Alignment to Improve Interpretation of Encoder-Decoder Models

Shun Kiyono, Sho Takase, Jun Suzuki, Naoaki Okazaki, Kentaro Inui

Linguistic representations in multi-task neural networks for ellipsis resolution

Ola Rønning, Daniel Hardt, Anders Søgaard

Understanding Convolutional Neural Networks for Text Classification

Alon Jacovi, Oren Sar Shalom, Yoav Goldberg

Jump to better conclusions: SCAN both left and right

Jasmijn Bastings, Marco Baroni, Jason Weston, Kyunghyun Cho, Douwe Kiela

On the Role of Text Preprocessing in Neural Network Architectures: An Evaluation Study on Text Categorization and Sentiment Analysis

Jose Camacho-Collados, Mohammad Taher Pilehvar

Evaluating Textual Representations through Image Generation

Graham Spinks, Marie-Francine Moens

Nightmare at test time: How punctuation prevents parsers from generalizing

Anders Søgaard, Miryam de Lhoneux, Isabelle Augenstein

Explaining non-linear Classifier Decisions within Kernel-based Deep Architectures

Danilo Croce, Daniele Rossini, Roberto Basili

Analyzing Learned Representations of a Deep ASR Performance Prediction Model

Zied Elloumi, Laurent Besacier, Olivier Galibert, Benjamin Lecouteux

When does deep multi-task learning work for loosely related document classification tasks?

Emma Kerinec, Chloé Braud, Anders Søgaard

Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP

Tal Linzen, Grzegorz Chrupała, Afra Alishahi

Deep Chit-Chat: Deep Learning for ChatBots

Wei Wu, Rui Yan

Standardized Tests as benchmarks for Artificial Intelligence

Mrinmaya Sachan, Minjoon Seo, Hannaneh Hajishirzi, Eric Xing

Deep Latent Variable Models of Natural Language

Alexander Rush, Yoon Kim, Sam Wiseman

Writing Code for NLP Research

Matt Gardner, Mark Neumann, Joel Grus, Nicholas Lourie

Graph Formalisms for Meaning Representations

Adam Lopez, Sorcha Gilroy

Joint models for NLP

Yue Zhang

Universal Sentence Encoder for English

Daniel Cer, Yinfei Yang, Sheng-yi Kong, Nan Hua, Nicole Limtiaco

When science journalism meets artificial intelligence : An interactive demonstration

Raghuram Vadapalli, Bakhtiyar Syed, Nishant Prabhu, Balaji Vasan Srinivasan, Vasudeva Varma

Developing Production-Level Conversational Interfaces with Shallow Semantic Parsing

Arushi Raghuvanshi, Lucien Carroll, Karthik Raghunathan

PizzaPal: Conversational Pizza Ordering using a High-Density Conversational AI Platform

Antoine Raux, Yi Ma, Paul Yang, Felicia Wong

LIA: A Natural Language Programmable Personal Assistant

Igor Labutov, Shashank Srivastava, Tom Mitchell

OpenKE: An Open Toolkit for Knowledge Embedding

Xu Han, Shulin Cao, Xin Lv, Yankai Lin, Zhiyuan Liu

CytonMT: an Efficient Neural Machine Translation Open-source Toolkit Implemented in C++

Xiaolin Wang, Masao Utiyama, Eiichiro Sumita

Integrating Knowledge-Supported Search into the INCEpTION Annotation Platform

Beto Boullosa, Richard Eckart de Castilho, Naveen Kumar, Jan-Christoph Klie, Iryna Gurevych

Magnitude: A Fast, Efficient Universal Vector Embedding Utility Package

Ajay Patel, Alexander Sands, Chris Callison-Burch, Marianna Apidianaki

Interactive Instance-based Evaluation of Knowledge Base Question Answering

Daniil Sorokin, Iryna Gurevych

APLenty: annotation tool for creating high-quality datasets using active and proactive learning

Minh-Quoc Nghiem, Sophia Ananiadou

An Interface for Annotating Science Questions

Michael Boratko, Harshit Padigela, Divyendra Mikkilineni, Pritish Yuvraj, Rajarshi Das

Visualizing Group Dynamics based on Multiparty Meeting Understanding

Ni Zhang, Tongtao Zhang, Indrani Bhattacharya, Heng Ji, Rich Radke

KT-Speech-Crawler: Automatic Dataset Construction for Speech Recognition from YouTube Videos

Egor Lakomkin, Sven Magg, Cornelius Weber, Stefan Wermter

Sisyphus, a Workflow Manager Designed for Machine Translation and Automatic Speech Recognition

Jan-Thorsten Peter, Eugen Beck, Hermann Ney

A Multilingual Information Extraction Pipeline for Investigative Journalism

Gregor Wiedemann, Seid Muhie Yimam, Chris Biemann

CogCompTime: A Tool for Understanding Time in Natural Language

Qiang Ning, Ben Zhou, Zhili Feng, Haoruo Peng, Dan Roth

SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing

Taku Kudo, John Richardson

Visualization of the Topic Space of Argument Search Results in args.me

Yamen Ajjour, Henning Wachsmuth, Dora Kiesel, Patrick Riehmann, Fan Fan

Juman++: A Morphological Analysis Toolkit for Scriptio Continua

Arseny Tolmachev, Daisuke Kawahara, Sadao Kurohashi

Demonstrating Par4Sem - A Semantic Writing Aid with Adaptive Paraphrasing

Seid Muhie Yimam, Chris Biemann

DERE: A Task and Domain-Independent Slot Filling Framework for Declarative Relation Extraction

Heike Adel, Laura Ana Maria Bostan, Sean Papay, Sebastian Padó, Roman Klinger

Visual Interrogation of Attention-Based Models for Natural Language Inference and Machine Comprehension

Shusen Liu, Tao Li, Zhimin Li, Vivek Srikumar, Valerio Pascucci

An Interactive Web-Interface for Visualizing the Inner Workings of the Question Answering LSTM

Ekaterina Loginova, Günter Neumann

MorAz: an Open-source Morphological Analyzer for Azerbaijani Turkish

Berke Özenç, Razieh Ehsani, Ercan Solak

Term Set Expansion based NLP Architect by Intel AI Lab

Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Alon Eirew, Yael Green

Data2Text Studio: Automated Text Generation from Structured Data

Longxu Dou, Guanghui Qin, Jinpeng Wang, Jin-ge Yao, Chin-Yew Lin

TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation

Pengcheng Yin, Graham Neubig

SyntaViz: Visualizing Voice Queries through a Syntax-Driven Hierarchical Ontology

Md Iftekhar Tanveer, Ferhan Ture

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations

Eduardo Blanco, Wei Lu